Networks in the illegal wildlife trade

非法野生动物贸易网络

• 批准号: 2620823
• 金额: --
• 依托单位: University of Kent
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2620823
• 关键词: Networks; illegal; wildlife; trade

At no other time has the environment and its biodiversity been in such a vulnerable state, with the illegal wildlife trade implicated in the decline and extinction of a diverse range of species. The project will involve the application of novel and interdisciplinary analytical methods to combat the illegal trade in wildlife. Specifically, we will combine geographic profiling - originally developed in criminology and since extended to biological data sets - and network analysis based on electricity resistance theory. In doing so, we aim to predict the most likely supply routes between poaching events and exit ports, and the associated process of consolidation within the illegal wildlife trade network. In terms of the elephant ivory trade network, it has been suggested that there are as few as 100 large-scale ivory consignments that move out of Africa annually, but that these constitute up to 80% of the illegal trade. The potential of the methods developed on the wildlife trade application will also be applicable to other trade networks such as the illegal narcotics trade.The proposed supervisory team will be interdisciplinary to ensure that the new developments are optimised to address the questions of interest.

环境及其生物多样性从未处于如此脆弱的状态，非法野生动物贸易牵涉到各种物种的衰落和灭绝。该项目将涉及应用新的跨学科分析方法来打击野生动物非法贸易。具体地说，我们将结合地理侧写--最初是在犯罪学中开发的，后来扩展到生物数据集--和基于电阻理论的网络分析。在这样做的过程中，我们的目标是预测偷猎事件和出境港口之间最有可能的供应路线，以及非法野生动物贸易网络中相关的整合过程。在象牙贸易网络方面，有人提出，每年离开非洲的大规模象牙托运只有100起，但它们构成了高达80%的非法贸易。针对野生动物贸易应用开发的方法的潜力也将适用于其他贸易网络，如非法毒品贸易。拟议的监督小组将是跨学科的，以确保新的发展得到优化，以解决感兴趣的问题。